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A Deep Learning-based Approach for Banana Leaf Diseases Classification- A Particle Swarm-based Approach for Semantic Similarity Computation
- A Review on Visualization Recommendation Strategies
- Accelerating relational database operations using both CPU and GPU co-processor
- An Ontology-based Scientific Data Integration Workflow
- CNN based Chart Image Classification
- Context-Based Web Service Discovery Framework with QoS Considerations
- Essential Annotation Schema for Ecology (EASE)—A framework supporting the efficient data annotation and faceted navigation in ecology
- Exploratorien zur funktionellen Biodiversitätsforschung – ein DFG Schwerpunktprogramm
- Honey bee versus Apis mellifera: A Semantic Search for Biological Data
- Integrated Semantic Search on Structured and Unstructured Data in the ADOnIS System
- Integrative Data Management for Reproducibility of Microscopy Experiments
- Ontology Visualization: An Overview
- QUIS: in-situ heterogeneous data source querying
- REPRODUCE-ME: Ontology-based Data Access for Reproducibility of Microscopy Experiments
- ScholarLens: extracting competences from research publications for the automatic generation of semantic user profiles
- Towards Personalized Support for Ontology Selection
- Towards Using Semantic Data Mining for Predicting Community Assembly
- Visualization Taxonomy based on the Specification of User’s Goal and Data Dimensions
- What do Biodiversity Scholars Search for? Identifying High-Level Entities for Biological Metadata
- Why the mapping process in ontology integration deserves attention
What do Biodiversity Scholars Search for? Identifying High-Level Entities for Biological Metadata
| Title: | What do Biodiversity Scholars Search for? Identifying High-Level Entities for Biological Metadata |
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| Authors: | Felicitas Löffler, Claas-Thido Pfaff, Naouel Karam, David Fichtmüller, Friederike Klan |
| Source: | Proceedings of the 2nd International Workshop on Semantics for Biodiversity co-located with 16th International Semantic Web Conference (ISWC 2017) |
| Place: | Vienna, Austria |
| Date: | 2017-10-22 |
| Type: | Workshop Paper |
| Abstract: |
Research questions in biodiversity are as diverse and heterogeneous as data are. Most metadata standards are mainly data-focused and pay little attention to the search perspective. In this work, we introduce a method to analyze the actual information need of biodiversity scholars based on two individual studies: (1) a series of workshops with domain experts and (2) an analysis of research and search questions collected in three different biodiversity projects. We finally present 12 high-level entities that appear in all kinds of biological data across the different sources evaluated.
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| URL: | http://ceur-ws.org/Vol-1933/poster-paper-10.pdf |